Before you move ad spend, check whether the number behind that decision is safe to trust.
A 2-minute risk read, built on the numbers you already see. We flag when your own reported figures disagree by enough that scaling, cutting, or reallocating on them is a gamble — and tell you the first thing to verify.
High risk to scale on these numbers. Your paid + email channels report $310k of revenue, but Shopify booked $200k that period — together they claim ~155% of what the business actually made, so they can't all be the sole source of the same orders.
- What it means for your decision
- Hold the increase until the contradiction is verified.
- First thing to verify
- Paid-platform ↔ email/SMS overlap — are multiple systems counting the same orders?
We never claim your tracking is "broken" or attach an exact dollar figure — only that your numbers disagree by a measurable amount, and what that means for the call.
Built by a senior analyst — 10 years building the pricing, attribution and segmentation models behind major e-commerce brands. This is the same reconciliation work, turned into a self-serve check.
Calibrated, not hyped. We tell you what the numbers can't prove, not just what they can. No guaranteed savings, no "10x your ROAS," no exact dollar claims from data we haven't seen.
Why this matters
Most DTC dashboards quietly disagree with each other.
It isn't that you're bad at this — it's the default state of a modern ad-and-email stack. The risk is making a five- or six-figure spend call on a number that three tools each take full credit for.
Platforms each claim the same sale
Meta, Google, TikTok, and email/SMS tools can all take credit for one order. Add their reported revenue up and you often count 150–200% of what the store actually made.
“Direct” hides your real channels
Misattributed paid, email and AI-referral traffic land in Direct, so a channel you think is free is often your ads — and you can’t see it.
Blended CAC / LTV averages two businesses
One blended number across new vs returning, across channels, describes neither — and the scale-or-cut call you make on it is wrong for both.
How it works
Three steps. About two minutes.
Tell us the decision
Scaling Meta? Cutting a channel? Judging your agency’s report? We keep the check in your business-decision frame, not an analytics one.
Enter numbers you already see
Shopify revenue, ad spend, and what each platform reports — Meta, Google, TikTok, email/SMS, or another source. Approximate is fine. No exports, no dashboards, no account access.
Get a risk band + next step
Low / Medium / High / Can’t-assess — with the contradiction shown in plain arithmetic, the number not to trust, and the first thing to verify.
The method
Why you can trust the read.
The check doesn't guess your "true" ROAS or pull from a black box. It does one defensible thing: it checks your own reported numbers against each other for contradictions you can verify with simple arithmetic.
- Your numbers, not ours. Every read is arithmetic on the figures you enter — so you can check the math yourself in thirty seconds.
- A risk band, not a truth claim. We say how far your numbers disagree and what that means for the decision — never that a tool is “broken” or that your real number is X.
- Deterministic, not AI guesswork. Same inputs always give the same result. No model is inventing a confident answer from data it can’t see.
- It refuses to fake it. If the numbers you give can’t be compared on a valid basis, it returns “Can’t assess yet” and tells you the one field that would unlock a read.
What the free check can — and can't — tell you
It can prove
- Your reported numbers disagree by a measurable amount.
- The decision rests on a figure that's likely inflated.
- The first thing worth verifying before you act.
It can't prove
- Your true per-source revenue or ROAS.
- Which exact platform is over-crediting.
- The root cause — that needs your real exports.
Naming what it can't conclude is the point. A check that over-claims is exactly the kind of number you came here to stop trusting.
When the risk looks real
The Verified Spend Decision Read — $400.
The free check flags whether your numbers disagree. The verified read confirms it against your actual Shopify and platform exports, names the most likely cause, and gives a specific go / hold / fix call on the exact decision you're weighing.
- Checked against your real exports — not just typed figures
- The most likely cause, confirmed, not inferred
- A clear go / hold / fix call, in priority order
- Done by a senior analyst. Turnaround in a few days
Questions founders ask first
Straight answers.
Do you see my store or ad data?
No. There's no login, no account access, and no integration. You type a few approximate numbers you already see; nothing connects to Shopify, Meta or anything else. Only share exports later if you choose the paid verified read.
Is this just a lead magnet?
The check is genuinely useful on its own — you walk away with a risk read and a concrete next step whether or not you ever pay. The paid read exists for when you want it confirmed against real exports before a big move.
How is this different from GA4 or my agency?
GA4 and your agency report what each tool believes it drove. This does the opposite job: it reconciles those reports against each other and against Shopify to flag where they contradict — the gap nobody's dashboard shows you.
What do I actually get for $400?
A verified read against your real Shopify and platform exports: the contradiction confirmed, the most likely cause named, and a specific go / hold / fix call on your decision, in priority order. A flat one-time fee, not a retainer.
Why should I trust the math?
Because you can check it. Every read is plain arithmetic on the numbers you entered — shown to you, not hidden in a model. If the inputs can't be compared validly, it says so instead of inventing an answer.
Who's behind it?
A senior analyst with 10 years building the pricing, attribution and segmentation models behind major e-commerce brands — the same reconciliation work, made self-serve.
Don't bet the quarter on a number you haven't checked.
Two minutes, no account access, no credit card. Find out whether the figure behind your next spend move is safe to trust.